Klemm, S. O.; Karschin, A.; Mechler, A. K.; Topalov, A. A.; Katsounaros, I.; Mayrhofer, K. J. J.: Corrigendum to “Time and potential resolved dissolution analysis of rhodium using a microelectrochemical flow cell coupled to an ICP-MS” [Journal of Electroanalytical Chemistry 677–680 (2012) 50–55] (S1572665712001865) (10.1016/j.jelechem.2012.05.006)). Journal of Electroanalytical Chemistry 693, p. 127 (2013)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
This project targets to exploit or develop new methodologies to not only visualize the 3D morphology but also measure chemical distribution of as-synthesized nanostructures using atom probe tomography.